• DocumentCode
    644425
  • Title

    D-PALD: A Dynamic Power-Aware Load Dispatcher with Response Time Percentile Guarantee in Heterogeneous Clusters

  • Author

    Xu Zhou ; Qiang Cao ; Changesheng Xie ; Xubin He

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    336
  • Lastpage
    340
  • Abstract
    The power consumption of a server is not linear to its activeness, i.e., a server with 10% load may still draw as much as 60% of its peak power, therefore, a significant amount of energy has been used to keep servers active even under very light or idle loads. The resulting effect has been increased low power-effectiveness in data centers which elevate ownership costs and put more pressure on rack and enclosure densities. This motivates us to design a scheme to dynamically dispatch load to achieve energy efficiency while maintaining the quality of service (QoS) by exploiting a fundamental characteristic of data centers: heterogeneity. In this work, we propose D-PALD to guarantee response time percentile while dynamically dispatch the workload among the servers to maximize the power efficiency in heterogeneous data centers. We develop a power efficiency model to characterize properties of servers while providing the percentile guarantee and also design a power aware load dispatching algorithm. Our experiments demonstrate that DPALD can save a significant amount of power without sacrificing user performance compared to the baseline power management algorithms.
  • Keywords
    computer centres; energy conservation; power aware computing; quality of service; resource allocation; D-PALD framework; QoS; data centers; dynamic power-aware load dispatcher; enclosure density; energy efficiency; heterogeneity characteristic; heterogeneous clusters; ownership costs; power efficiency model; power management algorithms; quality of service; rack density; response time percentile guarantee; server power consumption; user performance; Atomic clocks; Clustering algorithms; Load modeling; Power demand; Quality of service; Servers; Time factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Architecture and Storage (NAS), 2013 IEEE Eighth International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/NAS.2013.55
  • Filename
    6665389